Intravascular T-cell lymphoma with bowel involvement: Case report and literature review
Bibliographic record
Abstract
Intravascular lymphoma (IVL) is a rare form of non-Hodgkin lymphoma characterized by massive proliferation of large, neoplastic cells in small- and medium-sized blood vessels. Most cases of IVL are of B-cell immunophenotype; fewer than 15 cases of T-cell IVL have been reported. A 23-year-old male presented with acute abdominal pain, fever, and tender lower abdomen. Pathology at laparotomy revealed infiltration of colonic vessels with large lymphoid cells compatible with IVL. We reviewed all cases of IVL diagnosed at the Queen Elizabeth II Health Sciences Centre in Halifax, Nova Scotia, from August 1992 to August 2002. A literature review was also performed. Five additional cases of IVL were identified at this institution during a 10-year period. Three patients presented with neurological symptoms, and two with abdominal pain. In 4 of 5 cases, patients died of lymphoma within 3 months of presentation; one patient experienced a 10-month remission. While visceral involvement with IVL is common at autopsy, IVL presenting as an acute abdomen in an immunocompetent patient has not previously been described. Among the 15 cases of T-cell IVL reported in the literature, only two occurred in people under age 30. Given the rarity of T-cell IVL, it is remarkable that three cases of T-cell IVL have been diagnosed at our institution during a 10-year period.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".